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Data & AI Engineering

16 weeks full-timeBeginner to IntermediateScholarships available

Overview

Turn raw data into intelligent systems. This track trains you to collect, clean, pipeline, and analyze data — then layer AI on top. Core tools are Python, SQL, and pandas, taught through daily hands-on work.

You will learn to build data pipelines, run analysis, and develop AI-powered applications that derive actionable insight from raw information.

Who this is for

No prior experience or degree required. Must commit to full-time attendance for 16 weeks.

What you'll be able to do

Curriculum

Phase 1: Foundation (Weeks 1–2)

Environment setup, Python basics, intro to data concepts, AI tool onboarding.

Phase 2: Deep Work (Weeks 3–10)

Python data manipulation, SQL, pandas, pipeline construction, and AI integration.

Phase 3: Real Projects (Weeks 11–14)

Build and deliver data and AI engineering solutions for actual clients.

Phase 4: Launch (Weeks 15–16)

Portfolio presentation, interview preparation, career coaching.

Phase 5: Internship (Post-graduation)

Top 5 students receive paid 2-month internships.

Class format

Full-time cohort of 25 students. Mon–Wed: hands-on building. Thursday: professional skills. Friday: presentations. In-person Nairobi or online for Nigeria.

Tuition & scholarships

Kenya (Nairobi): KES 25,000 after b54 scholarship (regular KES 45,000). Nigeria (Online): NGN 250,000 after scholarship (regular NGN 450,000). Includes all materials, AI tool credits, and 3 months post-grad career support.

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